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Ideally knowledge of GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the firm's data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
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Web Services (AWS), VMC on AWS, Google Cloud Platform (GCP), Google Cloud VMware Engine (GCVE), VMware Horizon VDI, Citrix. Desktop and Mobility, AWS Solutions Architect Associate, AWS Developer Associate, EMC SE: Enterprise Storage ITIL – Foundation MCSE, A+, N.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Demonstrate deep knowledge and hands-on experience with various GCP services, including but not limited to Compute Engine, Cloud Storage, BigQuery, Dataflow, and Kubernetes Engine. We are seeking an experienced and highly skilled Senior Solutions Architect with elite caliber expertise in Google Cloud Platform (GCP) and Artificial Intelligence/Machine Learning (AI/ML.
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Demonstrated hands on experience with core GCP and AWS IaaS and PaaS services such as compute, storage, database, developer, analytics, networking, management tools, and security. · GCP Professional Cloud DevOps Engineer certification.
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Strong experience in building data analytics solutions using Google Cloud Platform services such as Google BigQuery, Cloud Storage, Dataflow, DataProc, Pub/Sub, Cloud Composer, or DataPrep. Acts as the principal builder of large-scale data processing systems and data lakes, optimized for both computational and storage efficiency on Google Cloud Platform.
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Cloud Native: Hands-on experience utilizing cloud platforms (AWS, Azure, GCP) for data processing, storage, and orchestration, optimizing for performance and cost. Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Expert level experience in the areas of design and deployment of VMware VCF, NST-T, vSAN, Azure VMware Solution (AVS), Amazon Web Services (AWS), VMC on AWS, Google Cloud Platform (GCP), Google Cloud VMware Engine (GCVE), VMware Horizon VDI, Citrix Virtual Apps and Desktops, Microsoft WVD / AVD & Amazon Workspaces (VDI.
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4+ years experience with current Azure/AWS/GCP services offerings, security, data storage & networking best practices for solutions design. Preferred Skills, Capabilities and Experiences:Azure, AWS, and/or GCP Certification for Solutions Engineer or Architect.
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Must have good implementationexperience onvariousGCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL. Senior Data Engineering Google Cloud Platform (GCP) is responsible to develop and deliver effective cloud solutions for clients.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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The Junior Associate can expect to be writing code and scripting on a daily basis using Python, Jupyter notebooks working cross-functionally with the Data Engineers and Software Developers on the team as well as gaining exposure to data management, data storage, and data visualization techniques.
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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Experience tools like R, git, mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus. Preferred Skills:Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) Experience with data governance(data plex), data security, and compliance best practices on GCP.
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Experience of working with Virtual Machines, Azure Site Recovery, Azure Functions, Azure Automation, App Service, Scale Sets, Azure DevOps, Azure Policy, Azure Monitor, Azure Backup, Azure storage, Application Gateway, Azure DNS, Load Balancer.
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Preferred experience in building data analytics solutions using On-premise Oracle EXADATA, Google Cloud Platform services such as Google BigQuery, Cloud Storage, Dataflow, DataProc, Pub/Sub, Cloud Composer, or DataPrep.
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gcp storage jobs in Chicago, IL
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